About the CoMSES Model Library more info
Our mission is to help computational modelers at all levels engage in the establishment and adoption of community standards and good practices for developing and sharing computational models. Model authors can freely publish their model source code in the Computational Model Library alongside narrative documentation, open science metadata, and other emerging open science norms that facilitate software citation, reproducibility, interoperability, and reuse. Model authors can also request peer review of their computational models to receive a DOI.
All users of models published in the library must cite model authors when they use and benefit from their code.
Please check out our model publishing tutorial and contact us if you have any questions or concerns about publishing your model(s) in the Computational Model Library.
We also maintain a curated database of over 7500 publications of agent-based and individual based models with additional detailed metadata on availability of code and bibliometric information on the landscape of ABM/IBM publications that we welcome you to explore.
Displaying 10 of 215 results Netlogo clear search
An Agent-Based School Choice Matching Model
Connie Wang Weikai Chen Shu-Heng Chen | Published Sunday, February 01, 2015 | Last modified Wednesday, March 06, 2019This model is to simulate and compare the admission effects of 3 school matching mechanisms, serial dictatorship, Boston mechanism, and Chinese Parallel, under different settings of information released.
Drafting agent-based modeling into basketball analytics
Matthew Oldham | Published Tuesday, February 19, 2019An agent-based simulation of a game of basketball. The model implements most components of a standard game of basketball. Additionally, the model allows the user to test for the effect of two separate cognitive biases – the hot-hand effect and a belief in the team’s franchise player.
Tiebout sorting
Marco Janssen | Published Thursday, January 24, 2019This Netlogo replication of Kollman, K., J.H. Miller and S.E. Page (1997) Political Institutions and Sorting in a Tiebout Model, American Economic Review 87(5): 977-992. The model consists of of citizens who can vote for partie and move to other jurisdictions if they expect their preferences are better served. Parties adjust their positions to increase their share in the elections.
Neolithic Spread Model Version 1.0
Sean Bergin Michael Barton Salvador Pardo Gordo Joan Bernabeu Auban | Published Thursday, December 11, 2014 | Last modified Monday, December 31, 2018This model simulates different spread hypotheses proposed for the introduction of agriculture on the Iberian peninsula. We include three dispersal types: neighborhood, leapfrog, and ideal despotic distribution (IDD).
Gentrilab
Adrian Lara | Published Monday, December 17, 2018Development of a Multiagent System for the Analysis of Gentrification in Latin America, an Agent-Based Model
BorealFireSIM is a cellular automaton based model that serves to identify future fire patterns in the boreal forest of Quebec, Canada. The model simulates yearly fire seasons and adjusts decadal climate variables based on two future carbon pathways (RCP45 (low emissions) and RCP85 (business as usual)). The BorealFireSIM model simulates future fire patterns up to the year 2100.
Social norms and the dominance of Low-doers
Antonio Franco | Published Wednesday, July 13, 2016 | Last modified Sunday, December 02, 2018The code for the paper “Social norms and the dominance of Low-doers”
RefugeePathSIM Model
Guillaume Arnoux Hébert Liliana Perez Saeed Harati | Published Thursday, October 11, 2018 | Last modified Tuesday, October 16, 2018RefugeePathSIM is an agent-based model to simulate the movement behavior of refugees in order to identify pathways of forced migration under crisis. The model generates migrants and lets them leave conflict areas for a destination that they choose based on their characteristics and desires. RefugeePathSIM has been developed and applied in a study of the Syrian war, using monthly data in years 2011-2015.
Network structures tutorial
Tom Brughmans | Published Sunday, September 30, 2018 | Last modified Tuesday, October 02, 2018A draft model with some useful code for creating different network structures using the Netlogo NW extension. This model is used for the following tutorial:
Brughmans, T. (2018). Network structures and assembling code in Netlogo, Tutorial, https://archaeologicalnetworks.wordpress.com/resources/#structures .
Root disease model
Adam Bouche | Published Sunday, September 30, 2018This is a model of root disease spread between trees in the landscape. The disease spreads via two transmission processes: (a) root contact/root graft transmission between adjacent trees and (b) insect vectors that carry spores between trees. Full details can be found in the “Info” tab in the model and in the readme file in the GitHub repository.
Displaying 10 of 215 results Netlogo clear search